brewcode:grepai

Semantic code search lets you find code by conceptual intent. By integrating Ollama and bge-m3 embeddings, this approach indexes your project to navigate large codebases without relying on literal text matching.

To set up semantic code search, initialize the system for your project to build a searchable index. This facilitates ongoing maintenance of a code understanding layer, enabling conceptual queries across your codebase.

Yes, Ollama is required as it integrates with bge-m3 embeddings to process and understand your codebase. This local integration facilitates project setup and maintains the searchable index of your code.

Semantic code search is the best way to find API patterns with changed function names. It matches code based on intent and context, allowing developers to quickly locate specific logic without exact text matches.

Yes, you can check the indexing status to monitor the code understanding layer. This maintenance feature ensures your project's searchable index is built correctly and ready for conceptual codebase navigation.

Semantic code search focuses on conceptual meaning rather than literal variable matching. If you need exact text string searches, traditional keyword grep is more appropriate; this tool targets intent and context discovery.